{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Installing Prerequisite Python Packages\n",
    "\n",
    "If you are running these notebooks on [Binder](https://mybinder.org), then there is no need to run this notebook. However, if you running these notebook on your own computer or on a different service, then the necessary Python packages may not be installed.\n",
    "\n",
    "By executing (Shift-Enter) the code cells below, you will instruct `pip` (a Python package manager) to install the necessary packages."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Basic packages for doing data analysis\n",
    "!pip install numpy matplotlib pandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Libraries necessary for accessing Yahoo Finance\n",
    "!pip install yahoo_fin requests_html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# A Python package for interfacing with Twitter's API\n",
    "!pip install twitter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Make nicer text-based tables\n",
    "!pip install prettytable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# The Natural Language Toolkit\n",
    "!pip install nltk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# For parsing HTML\n",
    "!pip install beautifulsoup4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# For accessing and parsing RSS feeds\n",
    "!pip install feedparser"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Small, fast HTTP client\n",
    "!pip install httplib2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# A prerequisite for dragnet\n",
    "!pip install cython"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Using machine learning for distinguishing main webpage content from boilerplate\n",
    "!pip install dragnet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# The premier machine learning library for Python\n",
    "!pip install scikit-learn"
   ]
  }
 ],
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   "display_name": "Python 3.6",
   "language": "python",
   "name": "python3"
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   "pygments_lexer": "ipython3",
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